When this happens...
New Event

Automatically do this!
Create Cluster
Create a Directory
Delete a Job
Create a Repo
Delete Repo
When this happensTriggers
A trigger is an event that starts a workflow.
Trigger's when new event occurs.
Action is the task that follows automatically within your Callyzer integrations.
Retrieves details of registered employees, including numbers and tags.
Returns the total calls, total connected calls, and total call duration, broken down hour-wise for each day.
Retrieves call counts with Never Attended, Never Received, Unique Clients, and Working Hour.
Retrieves call counts, unique clients, and working hours for a given date range.
Creates a new Databricks cluster for processing tasks.
Create a directory by a path.

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To start, connect both your Callyzer and Databricks accounts to viaSocket. Once connected, you can set up a workflow where an event in Callyzer triggers actions in Databricks (or vice versa).
Absolutely. You can customize how Callyzer data is recorded in Databricks. This includes choosing which data fields go into which fields of Databricks, setting up custom formats, and filtering out unwanted information.
The data sync between Callyzer and Databricks typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between Callyzer and Databricks. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
Callyzer is a comprehensive call tracking and analytics platform designed to help businesses monitor and analyze their call data effectively. It provides insights into call patterns, durations, and sources, enabling businesses to optimize their communication strategies and improve customer interactions.
Learn MoreDatabricks is a cloud-based data platform that provides a collaborative environment for data engineering, data science, and machine learning. It offers a unified analytics platform that simplifies data processing and enables organizations to build and deploy AI models at scale. With its powerful integration capabilities, Databricks allows teams to work together seamlessly, accelerating innovation and driving data-driven decision-making.
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